Fold 0
Model 0 best validation mae = 0.277622 on epoch 28
Model 0 test mae = 0.273259
Ensemble test mae = 0.273259
Fold 1
Model 0 best validation mae = 0.277635 on epoch 26
Model 0 test mae = 0.273786
Ensemble test mae = 0.273786
Fold 2
Model 0 best validation mae = 0.277545 on epoch 28
Model 0 test mae = 0.273545
Ensemble test mae = 0.273545
Fold 3
Model 0 best validation mae = 0.277877 on epoch 28
Model 0 test mae = 0.273563
Ensemble test mae = 0.273563
Fold 4
Model 0 best validation mae = 0.277199 on epoch 28
Model 0 test mae = 0.274277
Ensemble test mae = 0.274277
Fold 5
Model 0 best validation mae = 0.277975 on epoch 26
Model 0 test mae = 0.273797
Ensemble test mae = 0.273797
Fold 6
Model 0 best validation mae = 0.277742 on epoch 26
Model 0 test mae = 0.272474
Ensemble test mae = 0.272474
Fold 7
Model 0 best validation mae = 0.278255 on epoch 29
Model 0 test mae = 0.274740
Ensemble test mae = 0.274740
Fold 8
Model 0 best validation mae = 0.277436 on epoch 29
Model 0 test mae = 0.274369
Ensemble test mae = 0.274369
Fold 9
Model 0 best validation mae = 0.277354 on epoch 28
Model 0 test mae = 0.275528
Ensemble test mae = 0.275528
10-fold cross validation
	Seed 0 ==> test mae = 0.273259
	Seed 1 ==> test mae = 0.273786
	Seed 2 ==> test mae = 0.273545
	Seed 3 ==> test mae = 0.273563
	Seed 4 ==> test mae = 0.274277
	Seed 5 ==> test mae = 0.273797
	Seed 6 ==> test mae = 0.272474
	Seed 7 ==> test mae = 0.274740
	Seed 8 ==> test mae = 0.274369
	Seed 9 ==> test mae = 0.275528
Overall test mae = 0.273934 +/- 0.000801
Elapsed time = 4:42:59
